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Unlocking the Digitized Historical Newspaper Archive: Exploring Historical Insights with Deep Learning.

This paper aims to utilize historical newspapers through the application of computer vision and machine/deep learning to extract the headlines and illustrations from newspapers for storytelling. This endeavor seeks to unlock the historical knowledge embedded within newspaper contents while simultane...

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Published in:Information Technology & Libraries Vol. 44; no. 3; pp. 1 - 17
Main Authors: Wai-Yip Lum, Vincent, Kin-Fu Yip, Michael
Format: pictorial tables/charts Journal Article
Published: American Library Association Sep2025
Online Access:View this record in EBSCOhost
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      dt: Sep2025
      vid: 44
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      pub: American Library Association
      place: Chicago, Illinois
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        188380621
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        10.5860/ital.v44i3.17292
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        atl: Unlocking the Digitized Historical Newspaper Archive: Exploring Historical Insights with Deep Learning.
      aug:
        au:
          Wai-Yip Lum, Vincent
          Kin-Fu Yip, Michael
        affil: Digital Technologies Librarian, The Chinese University of Hong Kong
      sug:
        subj:
          Deep Learning
          Archives
          Newspapers History
          Storytelling
          Paradigms
          Natural Language Processing
          Motivation
          HTML
          Digital Imaging
      ab: This paper aims to utilize historical newspapers through the application of computer vision and machine/deep learning to extract the headlines and illustrations from newspapers for storytelling. This endeavor seeks to unlock the historical knowledge embedded within newspaper contents while simultaneously utilizing cutting-edge methodological paradigms for research in the digital humanities (DH) realm. We targeted to provide another facet apart from the traditional search or browse interfaces and incorporated those DH tools with place- and time-based visualizations. Experimental results showed our proposed methodologies in OCR (optical character recognition) with scraping and deep learning object detection models can be used to extract the necessary textual and image content for more sophisticated analysis. Timeline and geodata visualization products were developed to facilitate a comprehensive exploration of our historical newspaper data. The timeline-based tool spanned the period from July 1942 to July 1945, enabling users to explore the evolving narratives through the lens of daily headlines. The interactive geographical tool can enable users to identify geographic hotspots and patterns. Combining both products can enrich users' understanding of the events and narratives unfolding across time and space.
      pubtype: Academic Journal
      doctype:
        pictorial
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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